EngineeringComputer Science
S. Paranjothi, K. Anburaja
tlooto Summary
This genetic algorithm with the exponential variation of crossover probability, mutation probability, and dynamic hierarchy of the coding system has the ability to code a large number of control variables in a practical system, within a reasonable length of chromosome, and the algorithm is less sensitive to starting points.
Abstract
Abstract is not available.
Citation format
PARANJOTHI, S.; ANBURAJA, K. Optimal power flow using refined genetic algorithm. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2002, 30: 1055–1063.